Data Scientist for Process Mining (f/m/div)

#WeAreIn for jobs that impact everyone’s life

Your steady execution, creative problem-solving, and commitment to quality create a foundation that allows innovation to happen and success to grow.

As a Data Scientist for Process Mining on our Corporate Functions team, you ensure processes run efficiently, you bring clarity, and dependable support to the heart of the company.

Are you in?

Your role Key responsibilities in your new role,

As a Data Scientist for Process Mining, you will use process mining to provide meaningful insights to our internal customers in order to support their choices to lead their future business. Furthermore, you will analyze diverse data sources to extract new and actionable discoveries.

• Describe process model requirements and identify IT

application data needed for implementation of process models, cooperating with business process experts and IT application owners. As well as taking ownership of the Process Mining project by managing the deliverables, timeline, and engaging with stakeholders to identify the needs and goals for each project

• Define, implement, and continuously improve process models using SQL and Infineon’s process mining platform (mpmX), while providing process mining consulting and

training, supporting Citizen Developers, and mentoring junior team members

• Proactively explore new areas of

application for Process Mining

• Assure availability, integrity, quality

and maintenance of developed data models and solutions in a dedicated process mining database

• Become familiar with business

processes built up in models across diverse functional domains and actively support the cross-functional stakeholders

• Identify process inefficiencies, automation opportunities and

compliance risks and support stakeholders in defining and tracking improvement actions based on process mining insights and potential quantitative benefits

• Provide support in scouting and

observation of process mining provider market as well as newest capabilities and trends, ensuring continuous exchange with other process mining developers

Your profile Qualifications and skills to help you succeed

You are proactive, innovative, and technically skilled, with strong communication and consulting abilities. Your agile mindset and analytical approach help you deliver efficient, high-quality results.

• A degree in Mathematics, Computer Science, Natural Science, Engineering or similar field
• At least 5 years of professional experience in relevant areas, preferably in an international company
• Data manipulation skills for at least one well-known database system like Oracle or MS SQL (T-SQL, stored procedures, dbt – Data Build Tool)
• Experience in at least one programming language
• Experience with Process Mining, data analysis and visualization is a big advantage
• Understanding of business processes and project management principles are a big advantage
• Fluency in English. German is an advantage

Please send us your CV in English.

#WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in?

We are on a journey to create the best Infineon for everyone.

We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.

Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply.

Please let your recruiter know if you need any accommodations during the interview process.

Learn more about our various contact channels and about Diversity & Inclusion at Infineon.

Luis Oliveira,

https://www.linkedin.com/in/luis-oliveiraa/